User terminal device and method for recognizing user'S location using sensor-based behavior recognition

US10341981B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10341981-B2
Application numberUS-201615754512-A
CountryUS
Kind codeB2
Filing dateJul 12, 2016
Priority dateSep 2, 2015
Publication dateJul 2, 2019
Grant dateJul 2, 2019

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Disclosed is a system for recognizing a user location using sensor-based activity recognition. The system includes a mobile device which includes a sensor module configured to sense information about at least one of a user state and surrounding environments, a first processor configured to extract activity information based on the sensed information, and a first communication module configured to transmit the extracted activity information; and a user terminal device which includes a second communication module configured to receive the activity information from the first communication module, and a processor configured to determine a user location in a user space corresponding to a user activity based on the received activity information. By determining a user's location in a user space corresponding to a user activity, it is possible to control electronic devices corresponding to the user activity or provide a service of monitoring activities of the old and weak and the child.

First claim

Opening claim text (preview).

The invention claimed is: 1. A user terminal device for recognizing a user location using sensor-based activity recognition, the user terminal device comprising: a communication interface circuitry (CIC) configured to receive activity information from a mobile device that senses information about at least one of a user state and surrounding environments, and extracts the activity information based on the sensed information, and configured to perform Bluetooth communication and Wi-Fi communication; and a processor configured to: identify a user location in a user space corresponding to a user activity based on the received activity information, measure a distance between the mobile device and the user terminal device based on signal strength of the Bluetooth communication with the mobile device, and based on a user and the user terminal device being identified to be in the same location when the measured distance is within a predetermined range, identifying a user terminal location obtained by a Wi-Fi-based positioning system (WPS) as a user location. 2. The user terminal device according to claim 1 , wherein the mobile device comprises at least one first sensor comprising at least one of an acceleration sensor, a microphone, a heart-beat pulse sensor, a gyroscope, a geomagnetic sensor, a gravity sensor, an optical sensor, a digital compass, an odor sensor, or a proximity sensor. 3. The user terminal device according to claim 2 , wherein the user terminal device comprises at least one second sensor comprising at least one of an acceleration sensor, a microphone, a gyroscope, a geomagnetic sensor, a gravity sensor, an optical sensor, a digital compass, an odor sensor, or a proximity sensor. 4. The user terminal device according to claim 3 , wherein the mobile device extracts first activity information based on first sensed information sensed by the first sensor, and the processor extracts second activity information based on second sensed information sensed by the second sensor, and identifies a user location based on the first activity information and the second activity information. 5. The user terminal device according to claim 2 , wherein the activity information comprises an activity fingerprint generated based on raw sense data obtained from the first sensor. 6. The user terminal device according to claim 5 , wherein the activity fingerprint is generated by a clustering algorithm based on features extracted from the raw sense data. 7. The user terminal device according to claim 5 , wherein the processor identifies a user location using a statistics Markov model based on the activity fingerprint. 8. The user terminal device according to claim 7 , further comprising a storage configured to store user activity history data in which user activity corresponding to the activity information is associated with activity time. 9. The user terminal device according to claim 1 , wherein the processor further comprises a storage configured to store an activity fingerprint corresponding to the user location as a learning model in association with the user location. 10. A system for recognizing a user location using sensor-based activity recognition, the system comprising: a mobile device which comprises at least one sensor configured to sense information about at least one of a user state and surrounding environments, a first processor configured to extract activity information based on the sensed information, and a first communication interface circuitry (CIC) configured to transmit the extracted activity information and to perform Bluetooth communication; and a user terminal device which comprises a second CIC configured to receive the activity information from the first CIC, and to perform the Bluetooth communication and Wi-Fi communication, and a second processor configured to: identify a user location in a user space corresponding to a user activity based on the received activity information, measure a distance between the mobile device and the user terminal device based on signal strength of the Bluetooth communication with the mobile device, and based on a user and the user terminal device being identified to be in the same location when the measured distance is within a predetermined range, identifying a user terminal location obtained by a Wi-Fi-based positioning system (WPS) as a user location. 11. A system for recognizing a user location using sensor-based activity recognition, the system comprising: a first mobile device which comprises at least one sensor configured to sense information about at least one of a user state and surrounding environments, a first processor configured to extract activity information based on the sensed information, and a first communication interface circuitry (CIC) configured to transmit the extracted activity information and to perform Bluetooth communication; a second mobile device which comprises a second CIC configured to perform Wi-Fi communication and Bluetooth communication, and a second processor configured to obtain its own location information through the Wi-Fi communication and obtain distance information from the first mobile device through the Bluetooth communication; and a user terminal device which comprises a third CIC configured to receive the activity information from the first CIC and the location information and the distance information from the second CIC, and a third processor configured to: identify the location information as a user location when the first mobile device and the second mobile device are within a predetermined distance based on the distance information, identify a user location in a user space corresponding to a user activity based on the received activity information when the first mobile device and the second mobile device are beyond a predetermined distance, measure a distance between the first mobile device and the user terminal device based on signal strength of the Bluetooth communication with the first mobile device, and based on a user and the user terminal device being identified to be in the same location when the measured distance is within a predetermined range, identifying a user terminal location obtained by a Wi-Fi-based positioning system (WPS) as a user location, wherein the user terminal device is the same device as the second mobile device or a device different from the second mobile device. 12. A method of recognizing a user location using sensor-based activity recognition, the method comprising: by a mobile device, sensing information about at least one of a user state and surrounding environments extracting activity information based on the sensed information; transmitting the activity information to a user terminal device; and identifying a user location in a user space corresponding to the activity information based on the received activity information, wherein the identifying comprises: measuring a distance between the mobile device and the user terminal device based on signal strength of Bluetooth communication with the mobile device, and based on a user and the user terminal device being identified to be in the same location when the measured distance is within a predetermined range, identifying a user terminal location obtained by a Wi-Fi-based positioning system (WPS) as a user location. 13. A non-transitory recording medium for recording a program of identifying the user location in the user space corresponding to the user activity based on the activity information according to claim 12 .

Assignees

Inventors

Classifications

  • including a Bluetooth® interface · CPC title

  • including a sensor for measuring a physical value, e.g. temperature or motion · CPC title

  • Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication · CPC title

  • Electricity · mapped topic

  • H04W64/00Primary

    Locating users or terminals {or network equipment} for network management purposes, e.g. mobility management · CPC title

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Frequently asked questions

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What does patent US10341981B2 cover?
Disclosed is a system for recognizing a user location using sensor-based activity recognition. The system includes a mobile device which includes a sensor module configured to sense information about at least one of a user state and surrounding environments, a first processor configured to extract activity information based on the sensed information, and a first communication module configured …
Who is the assignee on this patent?
Samsung Electronics Co Ltd, Univ Yonsei Iacf
What technology area does this patent fall under?
Primary CPC classification H04W64/00. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Jul 02 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).